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Genetic optimization algorithm of PID decoupling control for VAV air-conditioning system 总被引：1，自引：0，他引：1
Variable-air-volume (VAV) air-conditioning system is a multi-variable system and has multi coupling control loops. While all
of the control loops are working together, they interfere and influence each other. A multivariable decoupling PID controller
is designed for VAV air-conditioning system. Diagonal matrix decoupling method is employed to eliminate the coupling between
the loop of supply air temperature and that of thermal-space air temperature. The PID controller parameters are optimized
by means of an improved genetic algorithm in floating point representations to obtain better performance. The population in
the improved genetic algorithm mutates before crossover, which is helpful for the convergence. Additionally the micro mutation
algorithm is proposed and applied to improve the convergence during the later evolution. To search the best parameters, the
optimized parameters ranges should be amplified 10 times the initial ideal parameters. The simulation and experiment results
show that the decoupling control system is effective and feasible. The method can overcome the strong coupling feature of
the system and has shorter governing time and less over-shoot than non-optimization PID control. 相似文献
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